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Performance of near-infrared probes and optogenetic tools derived from bacterial phytochromes is limited by availability of their biliverdin chromophore. To address this, we use a biliverdin reductase-A knock-out mouse model (Blvra), which elevates endogenous biliverdin levels. We show that Blvra⁻/⁻ significantly enhances function of bacterial phytochrome-based systems. Light-controlled transcription using iLight optogenetic tool improves ~25-fold in Blvra cells, compared to wild-type controls, and achieves ~100-fold activation in neurons. Light-induced insulin production in Blvra mice reduces blood glucose by ~60% in diabetes model. To overcome depth limitations in imaging, we employ 3D photoacoustic, ultrasound, and two-photon fluorescence microscopy. This enables simultaneous photoacoustic imaging of DrBphP in neurons and super-resolution ultrasound localization microscopy of brain vasculature at depths of ~7 mm through intact scalp and skull. Two-photon microscopy achieves cellular resolution of miRFP720-expressing neurons at ~2.2 mm depth. Overall, Blvra model represents powerful platform for improving efficacy of biliverdin-dependent tools for deep-tissue imaging and optogenetic manipulation.
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http://dx.doi.org/10.1038/s41467-025-61532-4 | DOI Listing |
Nat Methods
September 2025
Department of Radiology, Michigan State University, East Lansing, MI, USA.
Concurrent recording of electroencephalogram (EEG) and functional magnetic resonance imaging (fMRI) signals reveals cross-scale neurovascular dynamics crucial for explaining fundamental linkages between function and behaviors. However, MRI scanners generate artifacts for EEG detection. Despite existing denoising methods, cabled connections to EEG receivers are susceptible to environmental fluctuations inside MRI scanners, creating baseline drifts that complicate EEG signal retrieval from the noisy background.
View Article and Find Full Text PDFCell Regen
September 2025
Center for Translational Neural Regeneration Research, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, 310016, China.
Neural regeneration stands at the forefront of neuroscience, aiming to repair and restore function to damaged neural tissues, particularly within the central nervous system (CNS), where regenerative capacity is inherently limited. However, recent breakthroughs in biotechnology, especially the revolutions in genetic engineering, materials science, multi-omics, and imaging, have promoted the development of neural regeneration. This review highlights the latest cutting-edge technologies driving progress in the field, including optogenetics, chemogenetics, three-dimensional (3D) culture models, gene editing, single-cell sequencing, and 3D imaging.
View Article and Find Full Text PDFNature
September 2025
Centre for Organismal Studies Heidelberg, Heidelberg University, Heidelberg, Germany.
Metazoan development proceeds through a series of morphogenetic events that sculpt body plans and organ structures. In the early embryo, these processes occur concurrently such that forces generated in neighbouring tissues can impose mechanical stresses on each other, potentially disrupting development and consequently decreasing fitness. How organisms evolved mechanisms to mitigate inter-tissue mechanical conflicts remains unclear.
View Article and Find Full Text PDFbioRxiv
August 2025
Janelia Research Campus, HHMI, Ashburn VA, USA.
All cells in an animal collectively ensure, moment-to-moment, the survival of the whole organism in the face of environmental stressors. Physiology seeks to elucidate the intricate network of interactions that sustain life, which often span multiple organs, cell types, and timescales, but a major challenge lies in the inability to simultaneously record time-varying cellular activity throughout the entire body. We developed WHOLISTIC, a method to image second-timescale, time-varying intracellular dynamics across cell-types of the vertebrate body.
View Article and Find Full Text PDFDopaminergic neurons modulate movement, motivation, and learning by dynamically regulating dopamine release across distributed neural circuits. However, existing genetically encoded dopamine sensors lack the sensitivity and resolution to capture the full amplitude and temporal complexity of in vivo dopamine signaling, limiting insight into its functions across behavioral contexts. Here, we present dLight3.
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